Adaptive Matched Stochastic Resonance Enhanced Speedboat Seismoacoustic Signature under Heavy Background noise

Haitao Dong, Haiyan Wang, Xiaohong Shen, Zhongmin Huang, Shilei Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we propose a nonlinear weak signal processing method via adaptive stochastic resonance, aiming to enhance speedboat seismoacoustic signature under low signal-to-noise (SNR) ratio. The method is a joint tuning of calculation step and frequency of signature for optimal matched output with maximal local signal-to-noise ratio enhancement. Nonlinear filter performance analysis with computer simulations is given and an experimental verification with ocean bottom seismometer (OBS) received speedboat induced seismic wave data is further processed with the proposed method, which reflect an excellent enhancement performance.

Original languageEnglish
Title of host publicationOCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648148
DOIs
StatePublished - 7 Jan 2019
EventOCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 - Charleston, United States
Duration: 22 Oct 201825 Oct 2018

Publication series

NameOCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

Conference

ConferenceOCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Country/TerritoryUnited States
CityCharleston
Period22/10/1825/10/18

Keywords

  • Adaptive stochastic resonance
  • Low signal-to-noise ratio(SNR)
  • Ocean bottom seismometer (OBS)
  • Speedboat seismoacoustic

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